Leon Hetzel

According to our database, Leon Hetzel authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Expressivity and Generalization: Fragment-Biases for Molecular GNNs.

Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The power of motifs as inductive bias for learning molecular distributions.

Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann

CoRR, 2023

MAGNet: Motif-Agnostic Generation of Molecules from Shapes.

Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann

CoRR, 2023

2022

Uncertainty Quantification for Atlas-Level Cell Type Transfer.

Jan P. Engelmann, Leon Hetzel, Giovanni Palla, Lisa Sikkema, Malte Lücken, Fabian J. Theis

CoRR, 2022

Predicting single-cell perturbation responses for unseen drugs.

Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis

CoRR, 2022

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution.

Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks.

Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019